Cite this dataset as
Rolph, S, Mondain-Monval, T.O., August, T., Jarvis, S.G., Wright, E., Fox, R., Pocock, M.J.O. (2023). Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274
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This dataset is available under the terms of the Open Government Licence
Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain
Species richness layers are a modelled prediction of how many species are present at a location. Model variability is used to determine where a model is uncertain about its prediction of species occurrence. Model variability is combined with information about how recently a species had been recorded to produce the DECIDE recording priority. The DECIDE recording priority is a measure to prioritise locations to support adaptive sampling of where to collect species occurrence data to improve species distribution models.
Format
TIFF
Spatial information
- Study area
-
- Spatial representation type
- Raster
- Spatial reference system
- OSGB 1936 / British National Grid
Provenance & quality
SDMs were fitted for species separately using an ensemble modelling approach using four different model types; logistic regression (GLM), general additive model (GAM), random forest (RF) and Maxent (ME). Best performing models for each species were used. Species richness is the summed predicted probability of presence across all species within each group (butterfly, day-flying moths, and night-flying moths).
Model variability was calculated using a bootstrapping approach. For each model type, we fit the model 10 times on 90% random subsets of the total species' occurrence dataset. Model variability was calculated as the standard deviation across each model’s predicted probability of occurrence at each location for each species. The model variability was summed across all species within each group to produce the model variability layer.
The DECIDE recording priority (where a recorder should visit next) was calculated as a composite of model variability and how recently a record had been made in a location. Specifically, the model variability was down-weighted by the days since each record by dividing by the number of months since last record.
In the DECIDE tool (https://decide.ceh.ac.uk), the DECIDE recording priority layer is updated daily as new records are made on iRecord, iNaturalist and iSpot. The data presented here is a snapshot of the layers as of 20-Feb-2023.
Supplemental information
Correspondence/contact details
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Other contacts
- Rights holder
-
UK Centre for Ecology & Hydrology
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- biota
environment - INSPIRE theme
- Environmental Monitoring Facilities
- Keywords
- adaptive sampling , biodiversity , Biodiversity , butterfly , Lepidoptera , lepidopteran , moth , species distribution model
- Funding
- Natural Environment Research Council Award: NE/V003054/1
- Last updated
- 29 February 2024 16:54
More information about these numbers
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By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE AS: Rolph, S; Mondain-Monval, T.O.; August, T.; Jarvis, S.G.; Wright, E.; Fox, R.; Pocock, M.J.O. (2023). Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274